tesla driver version 410.129(linux) - nvidia supported nvidia tesla gpus the tesla driver package is

Download Tesla Driver version 410.129(Linux) - Nvidia Supported NVIDIA Tesla GPUs The Tesla driver package is

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  • TESLA DRIVER VERSION 410.129(LINUX)

    RN-08625-410.129 _v01 | February 2020

    Release Notes

  • www.nvidia.com Tesla Driver version 410.129(Linux) RN-08625-410.129 _v01 | ii

    TABLE OF CONTENTS

    Chapter 1. Version Highlights..................................................................................1 1.1. Fixed Issues................................................................................................ 1 1.2. Known Issues...............................................................................................1 1.3. Virtualization.............................................................................................. 2

    Chapter 2. Hardware and Software Support............................................................... 4

  • www.nvidia.com Tesla Driver version 410.129(Linux) RN-08625-410.129 _v01 | 1

    Chapter 1. VERSION HIGHLIGHTS

    This section provides highlights of the NVIDIA Tesla 410 Driver, version 410.129 for Linux. For changes related to the 410 release of the NVIDIA display driver, review the file "NVIDIA_Changelog" available in the .run installer packages.

    1.1. Fixed Issues ‣ Various security issues were addressed, for additional details on the med-high

    severity issues please review NVIDIA Product Security for more information.

    1.2. Known Issues

    NoScanout Mode

    NoScanout mode is no longer supported on NVIDIA Tesla products. If NoScanout mode was previously used, then the following line in the “screen” section of /etc/X11/xorg.conf should be removed to ensure that X server starts on Tesla products:

    Option "UseDisplayDevice" "None"

    Tesla products now support one display of up to 4K resolution.

    Unified Memory Support

    Some Unified Memory APIs (for example, CPU page faults) are not supported on Windows in this version of the driver. Review the CUDA Programming Guide on the system requirements for Unified Memory

    CUDA and unified memory is not supported when used with Linux power management states S3/S4.

    http://www.nvidia.com/object/product-security.html

  • Version Highlights

    www.nvidia.com Tesla Driver version 410.129(Linux) RN-08625-410.129 _v01 | 2

    IMPU FRU for Volta GPUs The driver does not support the IPMI FRU multi-record information structure for NVLink. See the Design Guide for Tesla P100 and Tesla V100-SXM2 for more information.

    Video Memory Support

    For Windows 7 64-bit, this driver recognizes up to the total available video memory on Tesla cards for Direct3D and OpenGL applications.

    For Windows 7 32-bit, this driver recognizes only up to 4 GB of video memory on Tesla cards for DirectX, OpenGL, and CUDA applications.

    Experimental OpenCL Features

    Select features in OpenCL 2.0 are available in the driver for evaluation purposes only.

    The following are the features as well as a description of known issues with these features in the driver:

    Device side enqueue

    ‣ The current implementation is limited to 64-bit platforms only. ‣ OpenCL 2.0 allows kernels to be enqueued with global_work_size larger than the

    compute capability of the NVIDIA GPU. The current implementation supports only combinations of global_work_size and local_work_size that are within the compute capability of the NVIDIA GPU. The maximum supported CUDA grid and block size of NVIDIA GPUs is available at http://docs.nvidia.com/cuda/cuda-c- programming-guide/index.html#computecapabilities. For a given grid dimension, the global_work_size can be determined by CUDA grid size x CUDA block size.

    ‣ For executing kernels (whether from the host or the device), OpenCL 2.0 supports non-uniform ND-ranges where global_work_size does not need to be divisible by the local_work_size. This capability is not yet supported in the NVIDIA driver, and therefore not supported for device side kernel enqueues.

    Shared virtual memory

    ‣ The current implementation of shared virtual memory is limited to 64-bit platforms only.

    1.3. Virtualization To make use of GPU passthrough with virtual machines running Windows and Linux, the hardware platform must support the following features:

    ‣ A CPU with hardware-assisted instruction set virtualization: Intel VT-x or AMD-V. ‣ Platform support for I/O DMA remapping. ‣ On Intel platforms the DMA remapper technology is called Intel VT-d.

    http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#computecapabilities http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#computecapabilities

  • Version Highlights

    www.nvidia.com Tesla Driver version 410.129(Linux) RN-08625-410.129 _v01 | 3

    ‣ On AMD platforms it is called AMD IOMMU.

    Support for these feature varies by processor family, product, and system, and should be verified at the manufacturer's website.

    Supported Hypervisors

    The following hypervisors are supported:

    Hypervisor Notes

    Citrix XenServer Version 6.0 and later

    VMware vSphere (ESX / ESXi) Version 5.1 and later.

    Red Hat KVM Red Hat Enterprise Linux 7 with KVM

    Microsoft Hyper-V Windows Server 2016 Hyper-V

    Generation 2

    Windows Server 2012 R2 Hyper-V

    Tesla products now support one display of up to 4K resolution.

    Supported Graphics Cards

    The following GPUs are supported for device passthrough:

    GPU Family Boards Supported

    Turing Tesla: T4

    Volta Tesla: V100

    Pascal Quadro: P2000, P4000, P5000, P6000, GP100

    Tesla: P100, P40, P4

    Maxwell Quadro: K2200, M2000, M4000, M5000, M6000, M6000

    24GB

    Tesla: M60, M40, M6, M4

    Kepler Quadro: K2000, K4000, K4200, K5000, K5200, K6000

    Tesla: K10, K20, K20x, K20Xm, K20c, K20s, K40m, K40c,

    K40s, K40st, K40t, K80, K520

  • www.nvidia.com Tesla Driver version 410.129(Linux) RN-08625-410.129 _v01 | 4

    Chapter 2. HARDWARE AND SOFTWARE SUPPORT

    Support for these feature varies by processor family, product, and system, and should be verified at the manufacturer's website.

    Supported Operating Systems

    The Release 410 driver is supported on the following operating systems:

    ‣ Windows 64-bit operating systems:

    ‣ Microsoft Windows® Server 2016 ‣ Microsoft Windows® Server 2012 R2 ‣ Microsoft Windows® 10 ‣ Microsoft Windows® 8.1 (**Not supported starting with Volta**) ‣ Microsoft Windows® 7 (**Not supported starting with Volta**)

    ‣ Linux 64-bit distributions:

    ‣ Fedora 27 ‣ OpenSUSE Leap 15 ‣ Red Hat Enterprise Linux 6 (**Deprecated**) ‣ Red Hat Enterprise Linux 7 ‣ SUSE Linux Enterprise Server 15 ‣ Ubuntu 16.04 LTS ‣ Ubuntu 18.04 LTS

    API Support

    This release supports the following APIs:

    ‣ NVIDIA® CUDA® 10.0 for NVIDIA® KeplerTM, MaxwellTM, PascalTM, VoltaTM and TuringTM GPUs

    ‣ OpenGL® 4.5 ‣ Vulkan® 1.1

  • Hardware and Software Support

    www.nvidia.com Tesla Driver version 410.129(Linux) RN-08625-410.129 _v01 | 5

    ‣ DirectX 11 ‣ DirectX 12 (Windows 10) ‣ Open Computing Language (OpenCLTM software) 1.2

    Supported NVIDIA Tesla GPUs

    The Tesla driver package is designed for systems that have one or more Tesla products installed. This release of the Tesla driver supports CUDA C/C++ applications and libraries that rely on the CUDA C Runtime and/or CUDA Driver API.

    Tesla T-Series Products

    Product GPU Architecture

    NVIDIA Tesla T4 Turing

    Tesla V-Series Products

    Product GPU Architecture

    NVIDIA Tesla V100 Volta

    Tesla P-Series Products

    Product GPU Architecture

    NVIDIA Tesla P100 Pascal

    NVIDIA Tesla P40 Pascal

    NVIDIA Tesla P4 Pascal

    Tesla K-Series Products

    Product GPU Architecture

    NVIDIA Tesla K520 Kepler

    NVIDIA Tesla K80 Kepler

    NVIDIA Tesla K40 (m/c/s/st/t) Kepler

    NVIDIA Tesla K20 (x/c/m/Xm/x) Kepler

    NVIDIA Tesla K10 Kepler

    NVIDIA Tesla K8 Kepler

  • Hardware and Software Support

    www.nvidia.com Tesla Driver version 410.129(Linux) RN-08625-410.129 _v01 | 6

    Tesla M-Class Products

    Product GPU Architecture

    NVIDIA Tesla M60 Maxwell

    NVIDIA Tesla M40 24 GB Maxwell

    NVIDIA Tesla M40 Maxwell

    NVIDIA Tesla M6 Maxwell

    NVIDIA Tesla M4 Maxwell

  • Notice

    THE INFORMATION IN THIS GUIDE AND ALL OTHER INFORMATION CONTAINED IN NVIDIA DOCUMENTATION

    REFERENCED IN THIS GUIDE IS PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED,

    STATUTORY, OR OTHERWISE WITH RESPECT TO THE INFORMATION FOR THE PRODUCT, AND EXPRESSLY

    DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A

    PARTICULAR PURPOSE. Notwithstanding any damages that customer might incur for any reason whatsoever,

    NVIDIA’s aggregate and cumulative liability towards customer for the product described in this guide shall

    be limited in accordance with the NVIDIA terms and conditions of sale for the product.

    THE NVIDIA PRODUCT DESCRIBED IN THIS GUIDE IS NOT FAULT TOLERANT AND IS NOT DESIGNED,

    MANUFACTURED OR INTENDED FOR USE IN CONNECTION WITH THE DESIGN, CONSTRUCTION, MAINTENANCE,

    AND/OR OPERATION OF ANY SYSTEM WHERE THE USE OR A FAILURE OF SUCH SYSTEM COULD RESULT IN A

    SITUATION THAT THREATENS THE SAFETY OF HUMAN LIFE OR SEVERE PHYSICAL HARM OR PROPERTY DAMAGE

    (INCLUDING, FOR EXAMPLE, USE IN CONNECTION WITH ANY NUCLEAR,

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